Title :
A model for the detection of motion over time
Author :
Black, Michael J. ; Anandan, P.
Author_Institution :
Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA
Abstract :
A model is proposed for the incremental estimation of visual motion fields from image sequences. The authors´ model exploits three standard constraints on image motion within an optimization framework: (1) data conservation-the intensity structure of a surface patch changes gradually over time; (2) spatial coherence-neighboring points have similar motions; and (3) temporal coherence-the image velocity of a surface patch changes gradually. The authors´ formulation takes into account the possibility of multiple motions at a particular location. They present an incremental scheme for the minimization of the objective function, based on simulated annealing. All computations are parallel, local, and incremental, and occlusion and disocclusion boundaries are estimated
Keywords :
computer vision; computerised picture processing; simulated annealing; data conservation; disocclusion boundaries; image sequences; incremental estimation; minimization; model; motion detection; occlusion boundaries; optimization framework; simulated annealing; spatial coherence; temporal coherence; visual motion fields; Computed tomography; Computer science; Concurrent computing; Constraint optimization; Image sequences; Motion detection; Motion measurement; Simulated annealing; Spatial coherence; Stochastic processes;
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
DOI :
10.1109/ICCV.1990.139487
